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Strategic Recovery: International Holding Branch
This 12-month recovery roadmap analyzed a local branch of an international holding facing a 20% EBT decline. The crisis was driven by margin compression in key commercial segments and an 11.9% currency devaluation affecting high-end product returns.
To address this, I engineered a custom Excel VBA multi-entity consolidation system featuring automated Overhead Allocation Logic for IT, HR, and Accounting. By applying Q1-Q2 Variance Analysis, the model simulated a path to recovery through admin payroll optimizations, restructured sales commission logic, and cost stabilization via WACC modeling.
The resulting forecast secured a 2.1 leverage ratio and protected a MMCLP 2,400 stakeholder dividend for the fiscal year, successfully navigating global volatility with technical precision.
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analysis, findings and escalations.
See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, I’m structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isn’t just to answer:
“What happened?”
It’s to answer:
“What should we do next?”
Because the most useful analytics system isn’t the one with the most charts.
It’s the one that makes the next business decision clearer.
Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management
Marketing AnalyticsData AnalysisecommerceeCommerce ManagementMicrosoft ExcelMicrosoft Power BIShopify
Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.